Ancestry
1001 - 5000 employees
Founded 1983
đź‘Ą B2C
🛍️ eCommerce
B2C • eCommerce
Ancestry is a consumer-focused family history company that helps people discover, preserve, and share their family stories through online genealogy tools, historical records, and consumer DNA testing. The company operates a subscription-based platform and eCommerce offerings (such as DNA kits), maintains a large consumer DNA database, and combines technology, data science, and content to power personal discovery and research. Ancestry emphasizes customer experience, diversity and inclusion, and employs global teams across product, engineering, marketing, and science-related roles.
Machine Learning Engineer, Co-op
đź•’ 3 days ago
🏄 California – Remote
⏱ Part Time
⚪️ Entry-level
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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Ancestry
1001 - 5000 employees
Founded 1983
đź‘Ą B2C
🛍️ eCommerce
B2C • eCommerce
Ancestry is a consumer-focused family history company that helps people discover, preserve, and share their family stories through online genealogy tools, historical records, and consumer DNA testing. The company operates a subscription-based platform and eCommerce offerings (such as DNA kits), maintains a large consumer DNA database, and combines technology, data science, and content to power personal discovery and research. Ancestry emphasizes customer experience, diversity and inclusion, and employs global teams across product, engineering, marketing, and science-related roles.
đź“‹ Description
• Develop and deploy machine learning and large language models. • Build and optimize AI agents to enhance automation and decision-making. • Optimize model inference speed, storage efficiency, and scalability for real-world applications. • Develop pipelines and MLOps workflows to streamline model training, evaluation, and deployment. • Contribute to ML, LLMs, agent evaluation and monitoring platform. • Experiment with new ML, LLM, and Agent technologies.
🎯 Requirements
• Currently pursuing an advanced degree (Master's or PhD preferred) in Computer Science, Data Science, Statistics, Mathematics, Linguistics, Engineering or related quantitative field with a strong data focus. • Proficient in Python and familiar with ML libraries such as TensorFlow, PyTorch or Scikit-learn. • Experience with GenAI, LLMs, and agentic frameworks (LangChain, AutoGen). • Strong problem-solving skills, with the ability to write clean, efficient, and scalable code. • Strong written and verbal communication skills • Curiosity and go-getter attitude • Experience with cloud platforms, ML development tools, and ML deployment tools. • Nice to have: Familiarity NodeJS or Java • Nice to have: Familiarity with LLM fine-tuning, retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, OpenSearch), LLM optimization, VLLM library, HuggingFace library or reinforcement learning techniques.
🏖️ Benefits
• location flexible work approach • inclusive work environment • reasonable accommodations for individuals with disabilities
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